| omxParallelCI {OpenMx} | R Documentation |
Create parallel models for parallel confidence intervals
omxParallelCI(model, run = TRUE)
model |
an MxModel with confidence intervals in it |
run |
whether to run the model or just return the parallelized interval models |
an MxModel object
# raw data version of frontpage model
require(OpenMx)
data(demoOneFactor)
manifests <- names(demoOneFactor)
latents <- c("G")
factorModel <- mxModel("One Factor",
type="RAM",
manifestVars = manifests,
latentVars = latents,
mxPath(from=latents, to=manifests),
mxPath(from=manifests, arrows=2),
mxPath(from=latents, arrows=2,
free=FALSE, values=1.0),
mxPath(from = 'one', to = manifests),
mxData(demoOneFactor, type="raw"),
mxCI(c('A', 'S'))) # add confidence intervals for free params in A and S matrices
factorRun <- mxRun(factorModel)
factorCI <- omxParallelCI(factorRun)